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個人化醫療市場中的產生人工智慧報告：到 2030 年的趨勢、預測和競爭分析
市場調查報告書
商品編碼
1416291

個人化醫療市場中的產生人工智慧報告：到 2030 年的趨勢、預測和競爭分析

Generative AI in Personalized Medicine Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3個工作天內

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簡介目錄

個人化醫療的生成人工智慧市場趨勢與預測

全球生成式人工智慧在個人化醫療市場的未來看起來充滿希望，醫院和診所、臨床研究、醫療機構和診斷中心市場都充滿機會。預計 2024 年至 2030 年，全球個人化醫療市場中的生成人工智慧將以 39.5% 的複合年成長率成長。該市場的主要促進因素是慢性病盛行率不斷上升、精準醫療趨勢不斷成長以及以患者為中心的照護需求不斷成長。

個人化醫療中的生成人工智慧市場洞察

Lucintel 預測，由於其彈性、適應性、可近性和成本效益，雲端基礎將在預測期內實現更高的成長。

由於對有效診斷和治療計劃的需求不斷成長，醫院和診所預計將見證該市場的最高成長。

由於微軟、蘋果和英偉達等投資人工智慧的主要企業的存在，北美在整個預測期內仍將是最大的地區。

常問問題

Q1.市場成長預測是多少：

A1. 個人化醫療的全球生成人工智慧市場預計從 2024 年到 2030 年將以 39.5% 的複合年成長率成長。

Q2. 影響個人化醫療市場中產生人工智慧成長的關鍵因素有哪些：

A2. 該市場的主要驅動力是慢性病患病率的增加、精準醫療的趨勢不斷成長以及對以患者為中心的護理的需求不斷成長。

Q3.市場的主要細分市場是：

A3. 個人化醫療市場中的生成人工智慧前景廣闊，在醫院和診所、臨床研究、醫療機構和診斷中心市場都有機會。

Q4. 個人化醫療領域的生成人工智慧主要公司有哪些？

A4. 個人化醫療市場中的一些生成人工智慧公司是：

  • 蝴蝶網路
  • 深度基因體學
  • Google
  • IBM 沃森健康
  • 微軟
  • 伊多克
  • In Silico醫學
  • 路徑人工智慧
  • 騰訊控股
  • 紐瑞林克有限公司

Q5.未來最大的細分市場是什麼？

A5.Lucintel 預計，由於其彈性、適應性、可訪問性和成本效益，雲端基礎將在預測期內實現更高的成長。

Q6.未來五年預計哪些地區的市場成長最大？

A6. 由於微軟、蘋果和英偉達等投資人工智慧的主要企業的存在，北美在整個預測期內仍將是最大的地區。

Q7. 可以客製化報告嗎？

A7。

目錄

第1章執行摘要

第2章個人化醫療中的全球生成人工智慧市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球個人化醫療生成人工智慧市場趨勢（2018-2023）與預測（2024-2030）
  • 按實施模型分類的個人化醫療全球生成人工智慧市場
    • 本地
    • 雲端基礎
  • 透過個人化醫療治療的全球個人化醫療的生成人工智慧市場
    • 藥品
    • 基因組醫學
  • 全球個人化醫療生成人工智慧市場（按最終用途）
    • 醫院和診所
    • 臨床調查
    • 醫療機構
    • 診斷中心

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球個人化醫療生成人工智慧市場（按地區）
  • 北美個人化醫療的生成人工智慧市場
  • 歐洲個人化醫療的生成人工智慧市場
  • 亞太地區個人化醫療的生成人工智慧市場
  • 其他地區個人化醫療的生成人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球個人化醫療生成人工智慧市場成長機會（按部署模型）
    • 全球個人化醫療和個人化醫療療法的生成人工智慧市場的成長機會
    • 全球生成人工智慧在個人化醫療市場的成長機會（以最終用途）
    • 全球個人化醫療生成人工智慧市場成長機會（按地區）
  • 全球個人化醫療生成人工智慧市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球個人化醫療生成人工智慧市場的容量
    • 全球個人化醫療生成人工智慧市場的併購和合資企業
    • 認證和許可

第7章主要企業概況

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation
簡介目錄

Generative AI in Personalized Medicine Trends and Forecast

The future of generative AI in the global personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets. Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030. The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.

A more than 150-page report is developed to help in your business decisions.

Generative AI in Personalized Medicine by Segment

The study includes a forecast for generative AI in the global personalized medicine by deployment model, personalized medicine therapeutics, end use, and region.

Generative AI in Personalized Medicine Market by Deployment Model [Shipment Analysis by Value from 2018 to 2030]:

  • On-Premise
  • Cloud Based

Generative AI in Personalized Medicine Market by Personalized Medicine Therapeutics [Shipment Analysis by Value from 2018 to 2030]:

  • Pharmaceutical
  • Genomic Medicine

Generative AI in Personalized Medicine Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

  • Hospitals and Clinics
  • Clinical Research
  • Healthcare Organizations
  • Diagnostic Centers

Generative AI in Personalized Medicine Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Generative AI Companies in Personalized Medicine Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies generative AI companies in personalized medicine market cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the generative AI comapnies in personalized medicine market are profiled in this report include-

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation

Generative AI in Personalized Medicine Market Insights

Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.

Within this market, hospitals and clinics is expected to witness the highest growth due to the growing need for effective diagnosis and treatment planning.

North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.

Features of the Generative AI in the Global Personalized Medicine Market

Market Size Estimates: Generative AI in personalized medicine market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Generative AI in personalized medicine market size by deployment model, personalized medicine therapeutics, end use, and region in terms of value ($B).

Regional Analysis: Generative AI in personalized medicine market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different deployment models, personalized medicine therapeutics, end uses, and regions for generative AI in the personalized medicine market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of generative AI in the personalized medicine market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the growth forecast for generative AI in personalized medicine market?

Answer: Generative AI in the global personalized medicine market is expected to grow with a CAGR of 39.5% from 2024 to 2030.

Q2. What are the major drivers influencing the growth of generative AI in personalized medicine market?

Answer: The major drivers for this market are increasing prevalence of chronic diseases, growing inclination towards precision medicine, and rising demand for patient-centered care.

Q3. What are the major segments for generative AI in personalized medicine market?

Answer: The future of the generative AI in personalized medicine market looks promising with opportunities in the hospital and clinic, clinical research, healthcare organization, and diagnostic center markets.

Q4. Who are the key generative AI companies in personalized medicine market?

Answer: Some of the key generative AI companies in personalized medicine market are as follows:

  • Butterfly Network
  • Deep Genomics
  • Google
  • IBM Watson Health
  • Microsoft Corporation
  • Aidoc
  • Insilico Medicine
  • PathAI
  • Tencent Holdings
  • Neuralink Corporation

Q5. Which generative AI in personalized medicine market segment will be the largest in future?

Answer: Lucintel forecasts that cloud based is expected to witness the higher growth over the forecast period due to its flexibility, adaptability, accessibility, and cost-effectiveness.

Q6. In generative AI in personalized medicine market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to the existence of key players investing in AI, such as Microsoft, Apple, and Nvidia.

Q7. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for generative AI in the personalized medicine market by deployment model (on-premise and cloud based), personalized medicine therapeutics (pharmaceutical and genomic medicine), end use (hospitals and clinics, clinical research, healthcare organizations, and diagnostic centers), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Generative AI in the Global Personalized Medicine Market: Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Generative AI in the Global Personalized Medicine Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Generative AI in the Global Personalized Medicine Market by Deployment Model
    • 3.3.1: On-premise
    • 3.3.2: Cloud Based
  • 3.4: Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
    • 3.4.1: Pharmaceutical
    • 3.4.2: Genomic Medicine
  • 3.5: Generative AI in the Global Personalized Medicine Market by End Use
    • 3.5.1: Hospitals and Clinics
    • 3.5.2: Clinical Research
    • 3.5.3: Healthcare Organizations
    • 3.5.4: Diagnostic Centers

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Generative AI in the Global Personalized Medicine Market by Region
  • 4.2: Generative AI in the North American Personalized Medicine Market
    • 4.2.2: Generative AI in the North American Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.3: Generative AI in the European Personalized Medicine Market
    • 4.3.1: Generative AI in the European Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.3.2: Generative AI in the European Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.4: Generative AI in the APAC Personalized Medicine Market
    • 4.4.1: Generative AI in the APAC Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.4.2: Generative AI in the APAC Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers
  • 4.5: Generative AI in the ROW Personalized Medicine Market
    • 4.5.1: Generative AI in the ROW Personalized Medicine Market by Deployment Model: On-premise and Cloud Based
    • 4.5.2: Generative AI in the ROW Personalized Medicine Market by End Use: Hospitals and Clinics, Clinical Research, Healthcare Organizations, and Diagnostic Centers

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Deployment Model
    • 6.1.2: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Personalized Medicine Therapeutics
    • 6.1.3: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by End Use
    • 6.1.4: Growth Opportunities for Generative AI in the Global Personalized Medicine Market by Region
  • 6.2: Emerging Trends of Generative AI in the Global Personalized Medicine Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of Generative AI in the Global Personalized Medicine Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures of Generative AI in the Global Personalized Medicine Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Butterfly Network
  • 7.2: Deep Genomics
  • 7.3: Google
  • 7.4: IBM Watson Health
  • 7.5: Microsoft Corporation
  • 7.6: Aidoc
  • 7.7: Insilico Medicine
  • 7.8: PathAI
  • 7.9: Tencent Holdings
  • 7.10: Neuralink Corporation